Construction and secrecy gain of a family of 5-modular lattices. - Xiaolu Hou; Fuchun Lin; Frédérique E. Oggier (ITW, 2014)

On LCD codes and lattices. - Xiaolu Hou; Frédérique E. Oggier (ISIT, 2016)

Feeding Two Cats with One Bowl: On Designing a Fault and Side-Channel Resistant Software Encoding Scheme. - Jakub Breier; Xiaolu Hou (IACR Cryptol. ePrint Arch., 2016)

Modular lattices from a variation of construction a over number fields. - Xiaolu Hou; Frédérique E. Oggier (Adv. Math. Commun., 2017)

Fault Attacks Made Easy: Differential Fault Analysis Automation on Assembly Code. - Jakub Breier; Xiaolu Hou (IACR Cryptol. ePrint Arch., 2017)

Practical Fault Attack on Deep Neural Networks. - Jakub Breier; Xiaolu Hou; Dirmanto Jap; Lei Ma 003; Shivam Bhasin; Yang Liu 003 (CCS, 2018)

Location Proximity Attacks Against Mobile Targets: Analytical Bounds and Attacker Strategies. - Xueou Wang; Xiaolu Hou; Ruben Rios; Per A. Hallgren; Nils Ole Tippenhauer; Martín Ochoa (ESORICS (2), 2018)

Fault Resilient Encoding Schemes in Software: How Far Can We Go? - Jakub Breier; Xiaolu Hou; Yang Liu 003 (IACR Cryptol. ePrint Arch., 2018)

On Side-Channel Vulnerabilities of Bit Permutations: Key Recovery and Reverse Engineering. - Jakub Breier; Dirmanto Jap; Xiaolu Hou; Shivam Bhasin (IACR Cryptol. ePrint Arch., 2018)

Fully Automated Differential Fault Analysis on Software Implementations of Cryptographic Algorithms. - Xiaolu Hou; Jakub Breier; Fuyuan Zhang; Yang Liu 003 (IACR Cryptol. ePrint Arch., 2018)

Fault Attacks Made Easy: Differential Fault Analysis Automation on Assembly Code. - Jakub Breier; Xiaolu Hou; Yang Liu 003 (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2018)

Experimental Evaluation of Deep Neural Network Resistance Against Fault Injection Attacks. - Xiaolu Hou; Jakub Breier; Dirmanto Jap; Lei Ma 003; Shivam Bhasin; Yang Liu 003 (IACR Cryptol. ePrint Arch., 2019)

SoK : On DFA Vulnerabilities of Substitution-Permutation Networks. - Mustafa Khairallah; Xiaolu Hou; Zakaria Najm; Jakub Breier; Shivam Bhasin; Thomas Peyrin (IACR Cryptol. ePrint Arch., 2019)

Fully Automated Differential Fault Analysis on Software Implementations of Block Ciphers. - Xiaolu Hou; Jakub Breier; Fuyuan Zhang; Yang Liu 003 (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2019)

DNFA: Differential No-Fault Analysis of Bit Permutation Based Ciphers Assisted by Side-Channel. - Xiaolu Hou; Jakub Breier; Shivam Bhasin (IACR Cryptol. ePrint Arch., 2020)

A Countermeasure Against Statistical Ineffective Fault Analysis. - Jakub Breier; Mustafa Khairallah; Xiaolu Hou; Yang Liu 003 (IEEE Trans. Circuits Syst., 2020)

SITM: See-In-The-Middle Side-Channel Assisted Middle Round Differential Cryptanalysis on SPN Block Ciphers. - Shivam Bhasin; Jakub Breier; Xiaolu Hou; Dirmanto Jap; Romain Poussier; Siang Meng Sim (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020)

On Side Channel Vulnerabilities of Bit Permutations in Cryptographic Algorithms. - Jakub Breier; Dirmanto Jap; Xiaolu Hou; Shivam Bhasin (IEEE Trans. Inf. Forensics Secur., 2020)

On Evaluating Fault Resilient Encoding Schemes in Software. - Jakub Breier; Xiaolu Hou; Yang Liu 003 (IEEE Trans. Dependable Secur. Comput., 2021)

Back to the Basics: Seamless Integration of Side-Channel Pre-Processing in Deep Neural Networks. - Yoo-Seung Won; Xiaolu Hou; Dirmanto Jap; Jakub Breier; Shivam Bhasin (IEEE Trans. Inf. Forensics Secur., 2021)

How Practical Are Fault Injection Attacks, Really? - Jakub Breier; Xiaolu Hou (IEEE Access, 2022)

A Finer-Grain Analysis of the Leakage (Non) Resilience of OCB. - Francesco Berti; Shivam Bhasin; Jakub Breier; Xiaolu Hou; Romain Poussier; François-Xavier Standaert; Balazs Udvarhelyi (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

SBCMA: Semi-Blind Combined Middle-Round Attack on Bit-Permutation Ciphers With Application to AEAD Schemes. - Xiaolu Hou; Jakub Breier; Shivam Bhasin (IEEE Trans. Inf. Forensics Secur., 2022)

Constrained Proximity Attacks on Mobile Targets. - Xueou Wang; Xiaolu Hou; Ruben Rios; Nils Ole Tippenhauer; Martín Ochoa (ACM Trans. Priv. Secur., 2022)

SNIFF: Reverse Engineering of Neural Networks With Fault Attacks. - Jakub Breier; Dirmanto Jap; Xiaolu Hou; Shivam Bhasin; Yang Liu 003 (IEEE Trans. Reliab., 2022)

On Implementation-Level Security of Edge-Based Machine Learning Models. - Lejla Batina; Shivam Bhasin; Jakub Breier; Xiaolu Hou; Dirmanto Jap (Security and Artificial Intelligence, 2022)

A Desynchronization-Based Countermeasure Against Side-Channel Analysis of Neural Networks. - Jakub Breier; Dirmanto Jap; Xiaolu Hou; Shivam Bhasin (CSCML, 2023)

New Results on Machine Learning-Based Distinguishers. - Anubhab Baksi; Jakub Breier; Vishnu Asutosh Dasu; Xiaolu Hou; Hyunji Kim; Hwajeong Seo (IEEE Access, 2023)

FooBaR: Fault Fooling Backdoor Attack on Neural Network Training. - Jakub Breier; Xiaolu Hou; Martín Ochoa; Jesus Solano (IEEE Trans. Dependable Secur. Comput., 2023)

SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting. - Xiaolu Hou; Mingcheng Li; Jiawei Chen 012; Dingkang Yang; Ziyun Qian; Lihua Zhang (ACML, 2024)

Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Models. - Jiawei Chen 012; Dingkang Yang; Yue Jiang; Mingcheng Li; Jinjie Wei; Xiaolu Hou; Lihua Zhang (ACM Multimedia, 2024)

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning. - Mingcheng Li; Dingkang Yang; Yang Liu 246; Shunli Wang 001; Jiawei Chen 012; Shuaibing Wang; Jinjie Wei; Yue Jiang; Qingyao Xu; Xiaolu Hou; Mingyang Sun; Ziyun Qian; et al. (NeurIPS, 2024)

Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models. - Jiawei Chen 012; Dingkang Yang; Yue Jiang; Mingcheng Li; Jinjie Wei; Xiaolu Hou; Lihua Zhang (CoRR, 2024)

DeepNcode: Encoding-Based Protection against Bit-Flip Attacks on Neural Networks. - Patrik Velcický; Jakub Breier; Mladen Kovacevic 001; Xiaolu Hou (CoRR, 2024)

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models. - Jiawei Chen 012; Dingkang Yang; Tong Wu; Yue Jiang; Xiaolu Hou; Mingcheng Li; Shunli Wang 001; Dongling Xiao; Ke Li; Lihua Zhang (CoRR, 2024)

DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers. - Camilo A. Martínez-Mejía; Jesus Solano; Jakub Breier; Dominik Bucko; Xiaolu Hou (CoRR, 2024)

MedAide: Towards an Omni Medical Aide via Specialized LLM-based Multi-Agent Collaboration. - Jinjie Wei; Dingkang Yang; Yanshu Li; Qingyao Xu; Zhaoyu Chen 001; Mingcheng Li; Yue Jiang; Xiaolu Hou; Lihua Zhang (CoRR, 2024)

DL-SITM: Deep Learning-Based See-in-the-Middle Attack on AES. - Tomas Gerlich; Jakub Breier; Pavel Sikora; Zdenek Martinasek; Aron Gohr; Anubhab Baksi; Xiaolu Hou (IACR Cryptol. ePrint Arch., 2024)

Another Look at Side-Channel-Resistant Encoding Schemes. - Xiaolu Hou; Jakub Breier; Mladen Kovacevic 001 (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Side-Channel Analysis of OpenVINO-Based Neural Network Models. - Zdenko Lehocký; Jakub Breier; Dirmanto Jap; Shivam Bhasin; Xiaolu Hou (ARES (EU Projects Symposium Workshops 1), 2025)

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation. - Xiaolu Hou; Mingcheng Li; Dingkang Yang; Jiawei Chen 012; Ziyun Qian; Xiao Zhao; Yue Jiang; Jinjie Wei; Qingyao Xu; Lihua Zhang (AAAI, 2025)

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation. - Mingcheng Li; Xiaolu Hou; Ziyang Liu; Dingkang Yang; Ziyun Qian; Jiawei Chen 012; Jinjie Wei; Yue Jiang; Qingyao Xu; Lihua Zhang (CVPR, 2025)

Make Shuffling Great Again: A Side-Channel-Resistant Fisher-Yates Algorithm for Protecting Neural Networks. - Leonard Puskác; Marek Benovic; Jakub Breier; Xiaolu Hou (IEEE Trans. Very Large Scale Integr. Syst., 2025)